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Paper Citation Record · LEDGER

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2504.11713.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.11713 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:47:49.545660Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 65cf8bfe-b678-4f56-8b36-6520a1a13f01 · inbound

Adaptive Destruction Processes for Diffusion Samplers cites this paper.

Adaptive Destruction Processes for Diffusion Samplers Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:47:49.545660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:47:49.545660Z digest=sha256:ad44951d8e1027413d72281858c2598f09bf8b78a46f55bfd860a8551532d6b0

Observation fbcb9772-2a5b-4437-91e0-1164f0789f8d · inbound

FlowBack-Adjoint: Physics-Aware and Energy-Guided Conditional Flow-Matching for All-Atom Protein Backmapping cites this paper.

FlowBack-Adjoint: Physics-Aware and Energy-Guided Conditional Flow-Matching for All-Atom Protein Backmapping Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T04:25:45.882724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:25:45.882724Z digest=sha256:d647887e140a9c1795c683053f0af83b7de882279f2b9c2706d29ae8fbb56129

Observation b1466c1c-aa91-4629-8b08-b6d243c2cf61 · inbound

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework cites this paper.

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-05T19:28:36.105087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:28:36.105087Z digest=sha256:8220b0f3bf31b03cc8087cfc68b081e1eb993c1a87b49899fbd9698c10afb9a6

Observation abb6c5af-94b6-4700-aefa-76cf828aaf00 · inbound

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling cites this paper.

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:46:45.381132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T18:43:13.941495Z digest=sha256:c309f09611fc83a3c53ba66755c45e4f7a0837a28e56130b79175c528e38c02c

Observation dfc2605d-9ba9-4182-ad0c-e188690c9a28 · inbound

Generative Modeling via Kernelized Stochastic Interpolants cites this paper.

Generative Modeling via Kernelized Stochastic Interpolants Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T21:32:19.397296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:32:19.397296Z digest=sha256:02acc4ec0a7d71eea9ad8725d60dfd67a1466748a5df26b5108144b2fee555f4

Observation f19f1229-c3e2-405c-8f86-2e21178c901b · inbound

Offline Materials Optimization with CliqueFlowmer cites this paper.

Offline Materials Optimization with CliqueFlowmer Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T15:36:13.373762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T15:35:43.439664Z digest=sha256:58a8bf1874ee8fe321d0103e3832abac29d36b269504488fcd35390c341ae929

Observation b92184c0-1c71-4419-a1f9-d16f50d7fa47 · inbound

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics cites this paper.

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:49:15.936265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T22:15:38.911842Z digest=sha256:631295e1386e84e10d32b2eaa0d9e137c65042b79b10c9c9c7f018524c6f3e02

Observation 8bd0f752-2f5b-48e1-9235-b27680c50166 · inbound

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics cites this paper.

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:31:26.789671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T00:59:20.790604Z digest=sha256:70cc714b0fa0cb29060d3f2486795bb43791fc6cf7f46699a6a70f36b290f465

Observation 774ff879-8320-4ab0-92d1-44b7201de9bd · inbound

Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline cites this paper.

Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:16:10.688260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T09:45:00.759474Z digest=sha256:8d4ec2d56a7fcca0df516dd23ea87a70f805a108971f64797f433c0fce35d0b5

Observation 1f884017-1bb5-468e-9648-7c2cc7547ed3 · inbound

Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures cites this paper.

Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T01:13:18.496350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T01:13:04.430135Z digest=sha256:375546f2c93f963085a7ab35170000d0a63ac1933ce926702b086a025cf492ea

Observation 21e39b4c-2c18-4eef-8001-894a3738f14a · inbound

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate cites this paper.

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T07:53:09.693766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T07:51:08.492404Z digest=sha256:fb6c12bf8b7bac895434fe5f2dccc6385eac6fc5b12c45115efe781257df9995

Observation b9610c84-acb7-495b-b82e-03d48f4c1237 · inbound

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate cites this paper.

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T15:05:47.235146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T18:21:16.187540Z digest=sha256:b96568f435c1eea67718c394a0a5f80eb0025b55f96a36cd4f1dbeb745224539

Observation 1f4f3346-03e6-4f51-bbac-54eb298d183f · inbound

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion cites this paper.

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:30:22.458863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T05:30:15.053277Z digest=sha256:d89f7436a396bb154bf9d022b14b451749bbfc31d68bc503f4b938b516d216a9

Observation 68e91b74-f739-4a1b-8fd1-a5d1970da894 · inbound

A Theory on Flow Matching with Neural Networks cites this paper.

A Theory on Flow Matching with Neural Networks Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 293

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:47:30.906604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T16:59:34.084575Z digest=sha256:2b946f6948e9b26265f53b780804d7f91dd3171710b6c1f0d7a017708474e2aa

Observation ad96b7c1-0419-446b-ac47-e55a93620f70 · inbound

Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching cites this paper.

Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:59:43.281447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T10:38:05.185415Z digest=sha256:1e0076311be8017b519eb86ff95c0513b09674d5e8cbdc16150c38d21fbb5e6a

Observation 289941f5-c81b-4678-a7ae-49356dfe0ff7 · inbound

Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation cites this paper.

Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-25T21:48:28.601431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T21:46:10.708856Z digest=sha256:5d27785efc482522bd0ceeaa2a3993dfe00e54db9b2bfec409f036d7a63a5d72

Observation b653a6c8-c5ca-4c03-818c-85bb3f3acc30 · inbound

Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation cites this paper.

Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:47:27.182797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T21:43:29.414070Z digest=sha256:8d99289c65a27c7a1aba40e8213a57db491a734594e1313c92c85ffc757087a1

Observation cefd454f-1c1c-4e3f-802d-7b822bb46b51 · inbound

Integration Matters: Rollout-Based Training for Constrained Diffusion Models cites this paper.

Integration Matters: Rollout-Based Training for Constrained Diffusion Models Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T02:18:48.981632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:18:48.981632Z digest=sha256:fb5e990acf51703dca7fb427116569bae2cfb12fec50a2904dce090429e457e4